Bibliographic record
Abstract
Citation (2015), "Editorial Advisory Board", Enabling Gender Equality: Future Generations of the Global World (Research in Political Sociology, Vol. 23), Emerald Group Publishing Limited, Bingley, p. xi. https://doi.org/10.1108/S0895-993520150000023018 Publisher: Emerald Group Publishing Limited Copyright © 2015 Emerald Group Publishing Limited Patrick Akard Kansas State University Paul Almeida University of California Merced Robert Antonio University of Kansas Alessandro Bonanno Sam Houston State University Barbara Brents University of Nevada Las Vegas David Brown Cornell University Kathleen Kost University at Buffalo Rhonda Levine Colgate University John Markoff University of Pittsburgh Scott McNall California State University Chico Harland Prechel Texas A&M University Adam Przeworski New York University William Roy University of California Los Angeles David A. Smith University of California Irvine Henry Taylor University at Buffalo Book Chapters Enabling Gender Equality: Future Generations of the Global World Research in Political Sociology Enabling Gender Equality: Future Generations of the Global World Copyright Page List of Contributors Editorial Advisory Board Part I: Gender Challenges in the Global System Turning Globalization and the Diffusion of Democracy into Opportunities for Women and Girls Women’s Portrait through Gender Lenses Part II: Gender Challenges at Work: Policies and Practices Sexual Harassment against Women in the Workplace: A Critical Study on the Regulatory Framework in Sri Lanka Gender, Power, and Knowledge: Deciphering the Dialectics of Inclusion–Exclusion in Academia in India Trauma and Fear of Long-Distance Mothering among Indonesian Female Migrant Domestic Workers Job Loss, Unemployment Benefits, and Mental Health of Middle-Aged US Women Filling the Void with Food: Urban Gardens as Safe Spaces and Alternatives to Vacant Land Part III: Gender Challenges in Families Social Neglect and Oppression of Widows in Rural India: Need for Social, Economic and Policy Implications Gender and Social Exclusion: A Study of Farmers Widows of Vidarbha Examining Women’s Health Issues among Quechua Speakers in Peru Part IV: Gender Challenges in Politics and Economy Presidential Election of 2015 in Poland. What about Women? Economics of Portraying Women in Media: Reinforcing Stereotype Role of Women in Advertisements in India Part V: Gender Challenges in Religion Religious Discrimination and Women in the Asoke Buddhist Group in Thailand Islam and Iranian Women: Determining the Level of Religious Beliefs in Muslim Iranian Women Part VI: Epilogue: Enabling Gender Equality Humans into Birds: Italian Interpretation of Gender in Canadian Theatre Building a Better World for Future Generations through Implementation of Global Gender Equality
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.081 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.019 | 0.009 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.014 | 0.009 |
| Insufficient payload (model declined to judge) | 0.416 | 0.355 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".